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Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs

Overview of attention for article published in Genome Medicine, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

twitter
38 tweeters

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
107 Mendeley
Title
Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
Published in
Genome Medicine, June 2019
DOI 10.1186/s13073-019-0650-x
Pubmed ID
Authors

Jody E. Phelan, Denise M. O’Sullivan, Diana Machado, Jorge Ramos, Yaa E. A. Oppong, Susana Campino, Justin O’Grady, Ruth McNerney, Martin L. Hibberd, Miguel Viveiros, Jim F. Huggett, Taane G. Clark

Twitter Demographics

The data shown below were collected from the profiles of 38 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 19 18%
Student > Master 16 15%
Other 8 7%
Student > Doctoral Student 6 6%
Other 19 18%
Unknown 20 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 19%
Immunology and Microbiology 16 15%
Agricultural and Biological Sciences 16 15%
Medicine and Dentistry 11 10%
Computer Science 3 3%
Other 10 9%
Unknown 31 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 February 2020.
All research outputs
#1,070,126
of 16,169,362 outputs
Outputs from Genome Medicine
#242
of 1,086 outputs
Outputs of similar age
#28,332
of 266,738 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 16,169,362 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,738 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them